This notebook contains a set of analyses for analyzing Quinns’s boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine predictive models trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
Quinns | training | published before 2020 | 207 | 393 |
Quinns | validation | published 2020 | 14 | 21 |
Quinns | test | published after 2020 | 8 | 12 |
The main outcome we will be modeling for the user is owned, which refers to whether the user currently owns or has a previously owned a game in their collection. Our goal is to train a predictive model to learn the probability that a user will add a game to their collection based on its observable features. This amounts to looking at historical data and looking to find patterns that exist between features of games and games present in the user’s collection.
One of the models we trained was a decision tree, which looks for decision rules that can be used to separate games the user owns from games they don’t. The resulting model produces a decision corresponding to yes or no statements: to explain why the model predicts the user to own game, we start at the top of the tree and follow the rules that were learned from the training data.
Note: the tree below has been further pruned to make it easier to visualize.
Decision trees are highly interpretible models that are easy to train and can identify important interactions and nonlinearities present in the data. Individual trees have the drawback of being less predictive than other common models, but it can be useful to look at them to gain some understanding of key predictors and relationships found in the training data.
We can examine coefficients from another model we trained, which is a logistic regression with elastic net regularization (which I will refer to as a penalized logistic regression). Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability. To be precise, the coefficients indicate the effect of a particular feature on the log-odds of a user owning a game.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | User_Collection | All_Games | Ratio |
Quinns | CMON Global Limited | 3.9% | 0.3% | 11.47 |
Quinns | Fantasy Flight Games | 11.6% | 1.1% | 10.72 |
Quinns | Renegade Game Studios | 2.9% | 0.4% | 7.47 |
Quinns | Pegasus Spiele | 14.0% | 2.1% | 6.65 |
Quinns | ZMan Games | 9.2% | 1.4% | 6.64 |
Quinns | Unknown | 2.4% | 0.9% | 2.77 |
Quinns | Deduction Game | 10.6% | 5.1% | 2.09 |
Quinns | Ravensburger | 3.9% | 2.4% | 1.58 |
Quinns | Dice Rolling | 23.7% | 28.4% | 0.83 |
Quinns | Memory Mechanic | 2.4% | 4.5% | 0.54 |
Quinns | Wargame | 5.8% | 18.8% | 0.31 |
Quinns | Movies TV Radio Theme | 1.4% | 5.0% | 0.29 |
Quinns | Childrens Game | 1.0% | 8.0% | 0.12 |
Quinns | Roll Spin And Move | 0.5% | 6.8% | 0.07 |
Quinns | Stock Holding | 0.0% | 1.4% | 0.00 |
Quinns | Educational | 0.0% | 2.4% | 0.00 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
Displaying the 100 games from the training set with the highest probability of ownership, highlighting in blue games the user has owned.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2017 | 220308 | Gaia Project | 0.911 | yes |
2 | 2017 | 233078 | Twilight Imperium: Fourth Edition | 0.874 | no |
3 | 2016 | 205059 | Mansions of Madness: Second Edition | 0.828 | no |
4 | 2012 | 120677 | Terra Mystica | 0.817 | no |
5 | 2002 | 4098 | Age of Steam | 0.783 | no |
6 | 2019 | 281946 | Aftermath | 0.762 | no |
7 | 2018 | 205896 | Rising Sun | 0.736 | no |
8 | 2012 | 124742 | Android: Netrunner | 0.675 | no |
9 | 2012 | 121921 | Robinson Crusoe: Adventures on the Cursed Island | 0.674 | no |
10 | 2019 | 286096 | Tapestry | 0.663 | no |
11 | 2014 | 150926 | Roll Through the Ages: The Iron Age | 0.633 | no |
12 | 2007 | 28143 | Race for the Galaxy | 0.619 | yes |
13 | 2018 | 244711 | Newton | 0.609 | no |
14 | 2010 | 25292 | Merchants & Marauders | 0.589 | no |
15 | 2014 | 145371 | Three Kingdoms Redux | 0.586 | yes |
16 | 2019 | 266507 | Clank!: Legacy – Acquisitions Incorporated | 0.565 | no |
17 | 2012 | 126750 | Sky Tango | 0.561 | no |
18 | 2017 | 205597 | Jump Drive | 0.558 | no |
19 | 2014 | 132531 | Roll for the Galaxy | 0.557 | yes |
20 | 2015 | 181279 | Fury of Dracula (Third/Fourth Edition) | 0.553 | no |
21 | 2016 | 167791 | Terraforming Mars | 0.546 | yes |
22 | 2017 | 174430 | Gloomhaven | 0.543 | no |
23 | 2018 | 255692 | New Frontiers | 0.541 | yes |
24 | 2014 | 157354 | Five Tribes | 0.530 | no |
25 | 1997 | 42 | Tigris & Euphrates | 0.524 | yes |
26 | 2016 | 187645 | Star Wars: Rebellion | 0.524 | yes |
27 | 2012 | 117915 | Yedo | 0.513 | no |
28 | 2019 | 276025 | Maracaibo | 0.506 | no |
29 | 2016 | 184919 | Greedy Greedy Goblins | 0.502 | no |
30 | 2010 | 73171 | Earth Reborn | 0.501 | no |
31 | 2000 | 475 | Taj Mahal | 0.491 | no |
32 | 2003 | 6472 | A Game of Thrones | 0.489 | no |
33 | 2008 | 37111 | Battlestar Galactica: The Board Game | 0.487 | yes |
34 | 2019 | 274364 | Watergate | 0.483 | no |
35 | 2016 | 205637 | Arkham Horror: The Card Game | 0.483 | yes |
36 | 2010 | 73439 | Troyes | 0.481 | no |
37 | 2011 | 70919 | Takenoko | 0.480 | no |
38 | 2013 | 144239 | Impulse | 0.473 | no |
39 | 2008 | 39463 | Cosmic Encounter | 0.466 | no |
40 | 2017 | 221107 | Pandemic Legacy: Season 2 | 0.463 | yes |
41 | 2019 | 272453 | KeyForge: Age of Ascension | 0.455 | no |
42 | 2019 | 283863 | The Magnificent | 0.435 | no |
43 | 2018 | 199792 | Everdell | 0.421 | no |
44 | 1999 | 47 | Chinatown | 0.414 | no |
45 | 2015 | 176920 | Mission: Red Planet (Second Edition) | 0.396 | no |
46 | 2013 | 143693 | Glass Road | 0.389 | no |
47 | 2015 | 181304 | Mysterium | 0.388 | no |
48 | 2016 | 205398 | Citadels | 0.385 | no |
49 | 2016 | 207336 | Honshū | 0.383 | no |
50 | 2016 | 155821 | Inis | 0.382 | no |
51 | 2017 | 229006 | SpyNet | 0.378 | yes |
52 | 2012 | 104363 | Rex: Final Days of an Empire | 0.376 | no |
53 | 2019 | 285775 | KeyForge: Worlds Collide | 0.373 | no |
54 | 2009 | 45134 | Arcana | 0.368 | no |
55 | 2018 | 313010 | Cosmic Encounter: 42nd Anniversary Edition | 0.367 | no |
56 | 2019 | 269385 | The Lord of the Rings: Journeys in Middle-Earth | 0.352 | no |
57 | 2017 | 232979 | Richard the Lionheart | 0.349 | no |
58 | 2008 | 38707 | Bushido: Der Weg des Kriegers | 0.345 | no |
59 | 1874 | 10799 | Old Maid | 0.341 | no |
60 | 2016 | 171131 | Captain Sonar | 0.318 | no |
61 | 2007 | 28720 | Brass: Lancashire | 0.317 | yes |
62 | 2018 | 245638 | Coimbra | 0.312 | yes |
63 | 2017 | 214293 | Mountains of Madness | 0.307 | no |
64 | 2012 | 131646 | Merchant of Venus (Second Edition) | 0.306 | no |
65 | 2013 | 146278 | Tash-Kalar: Arena of Legends | 0.304 | no |
66 | 2015 | 161936 | Pandemic Legacy: Season 1 | 0.302 | no |
67 | 2016 | 198928 | Pandemic: Iberia | 0.299 | no |
68 | 1995 | 112 | Condottiere | 0.299 | yes |
69 | 2019 | 264220 | Tainted Grail: The Fall of Avalon | 0.297 | no |
70 | 2010 | 70916 | Rockband Manager | 0.286 | no |
71 | 1895 | 9364 | Doppelkopf | 0.275 | no |
72 | 2005 | 15062 | Shadows over Camelot | 0.273 | no |
73 | 2019 | 285984 | Last Bastion | 0.273 | no |
74 | 2019 | 265736 | Tiny Towns | 0.271 | yes |
75 | 2008 | 33159 | Middle Kingdom | 0.268 | no |
76 | 1999 | 348 | Merchants of the Middle Ages | 0.263 | no |
77 | 2011 | 96848 | Mage Knight Board Game | 0.262 | no |
78 | 2006 | 21882 | Blue Moon City | 0.260 | no |
79 | 2018 | 259809 | Sonar Family | 0.256 | no |
80 | 2008 | 40381 | Modern Art Card Game | 0.253 | no |
81 | 2017 | 162886 | Spirit Island | 0.252 | yes |
82 | 2006 | 25613 | Through the Ages: A Story of Civilization | 0.251 | no |
83 | 2011 | 59959 | Letters from Whitechapel | 0.248 | no |
84 | 2018 | 242639 | Treasure Island | 0.243 | yes |
85 | 2019 | 264052 | Circadians: First Light | 0.241 | no |
86 | 2016 | 148261 | SeaFall | 0.238 | no |
87 | 2016 | 192945 | Coal Baron: The Great Card Game | 0.238 | no |
88 | 2005 | 17449 | Beowulf: The Legend | 0.237 | no |
89 | 2014 | 167828 | Roll Through the Ages: The Iron Age with Mediterranean Expansion | 0.237 | no |
90 | 2013 | 146418 | Warhammer: Diskwars | 0.236 | no |
91 | 2005 | 15987 | Arkham Horror | 0.233 | no |
92 | 2019 | 285774 | Marvel Champions: The Card Game | 0.232 | yes |
93 | 2015 | 181530 | Runebound (Third Edition) | 0.231 | no |
94 | 2018 | 231327 | The Grizzled: Armistice Edition | 0.227 | no |
95 | 2016 | 160010 | Conan | 0.226 | no |
96 | 2018 | 214988 | Railways of Nippon | 0.226 | no |
97 | 2011 | 69552 | Panic Station | 0.224 | no |
98 | 2009 | 40692 | Small World | 0.220 | no |
99 | 2013 | 148532 | Ghost Blitz: 5 to 12 | 0.220 | no |
100 | 2014 | 148228 | Splendor | 0.219 | no |
This section contains a variety of visualizations and metrics for assessing the performance of the model(s) during resampling. If you’re not particularly interested in predictive modeling, skip down further to the predictions from the model.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can more formally assess how well each model did in resampling by looking at the area under the receiver operating characteristic curve. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
wflow_id | .metric | .estimator | .estimate |
GLM | roc_auc | binary | 0.85 |
Decision Tree | roc_auc | binary | 0.63 |
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
While we are probably more interested in the lift provided by the models to evaluate their efficacy, we can also explore the optimal cutpoint if we wanted to define a hard threshold for identifying games a user will own vs not own.
The threshold we select depends on how we much we care about false positives (games the model predicts that the user does not own) vs false negatives (games the user owns that the model does not predict). We can toggle threshold to
Finally, we can understand the performance of the model by examining its calibration. If the model assigns a probability of 5%, how often does the outcome actually occur? A well calibrated model is one in which the predicted probabilities reflect the probabilities we would observe in the actual data. We can assess the calibration of a model by grouping its predictions into bins and assessing how often we observe the outcome versus how often our model expects to observe the outcome.
A model that is well calibrated will closely follow the dashed line - its expected probabilities match that of the observed probabilities. A model that consistently underestimates the probability of the event will be over this dashed line, be a while a model that overestimates the probability will be under the dashed line.
What games does the model think Quinns is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2017 | 233078 | Twilight Imperium: Fourth Edition | 0.874 | no |
2016 | 205059 | Mansions of Madness: Second Edition | 0.828 | no |
2012 | 120677 | Terra Mystica | 0.817 | no |
2002 | 4098 | Age of Steam | 0.783 | no |
2019 | 281946 | Aftermath | 0.762 | no |
What games does the model think Quinns is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
1966 | 5894 | Twister | 0.000 | yes |
1970 | 5519 | Air Charter | 0.000 | yes |
2016 | 192547 | Go Cuckoo! | 0.001 | yes |
2011 | 91536 | Quarriors! | 0.001 | yes |
2018 | 250458 | Gùgōng | 0.002 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | Terra Mystica | Impulse | Roll Through the Ages: The Iron Age | Fury of Dracula (Third/Fourth Edition) | Mansions of Madness: Second Edition | Gaia Project | Rising Sun | Aftermath |
2 | Android: Netrunner | Glass Road | Three Kingdoms Redux | Mission: Red Planet (Second Edition) | Terraforming Mars | Twilight Imperium: Fourth Edition | Newton | Tapestry |
3 | Robinson Crusoe: Adventures on the Cursed Island | Tash-Kalar: Arena of Legends | Roll for the Galaxy | Mysterium | Star Wars: Rebellion | Jump Drive | New Frontiers | Clank!: Legacy – Acquisitions Incorporated |
4 | Sky Tango | Warhammer: Diskwars | Five Tribes | Pandemic Legacy: Season 1 | Greedy Greedy Goblins | Gloomhaven | Everdell | Maracaibo |
5 | Yedo | Ghost Blitz: 5 to 12 | Roll Through the Ages: The Iron Age with Mediterranean Expansion | Runebound (Third Edition) | Arkham Horror: The Card Game | Pandemic Legacy: Season 2 | Cosmic Encounter: 42nd Anniversary Edition | Watergate |
6 | Rex: Final Days of an Empire | Sail to India | Splendor | Bad Bunnies | Citadels | SpyNet | Coimbra | KeyForge: Age of Ascension |
7 | Merchant of Venus (Second Edition) | A Study in Emerald | DungeonQuest Revised Edition | 504 | Honshū | Richard the Lionheart | Sonar Family | The Magnificent |
8 | Keyflower | Rococo | Onirim (Second Edition) | Porta Nigra | Inis | Mountains of Madness | Treasure Island | KeyForge: Worlds Collide |
9 | Descent: Journeys in the Dark (Second Edition) | Room 25 | Ultimate Werewolf | City of Spies: Estoril 1942 | Captain Sonar | Spirit Island | The Grizzled: Armistice Edition | The Lord of the Rings: Journeys in Middle-Earth |
10 | Archipelago | Bruxelles 1893 | Deception: Murder in Hong Kong | Grand Austria Hotel | Pandemic: Iberia | Downforce | Railways of Nippon | Tainted Grail: The Fall of Avalon |
11 | Edo | Patchistory | La Granja | Through the Ages: A New Story of Civilization | SeaFall | Codenames: Duet | KeyForge: Call of the Archons | Last Bastion |
12 | Space Cadets | Coal Baron | Akrotiri | Warhammer Quest: The Adventure Card Game | Coal Baron: The Great Card Game | Fallout | The World of SMOG: Rise of Moloch | Tiny Towns |
13 | Winter Tales | Legacy: The Testament of Duke de Crecy | Orléans | Viticulture Essential Edition | Conan | Legacy of Dragonholt | Narcos: The Board Game | Circadians: First Light |
14 | Clash of Cultures | Blood Bound | Istanbul | Specter Ops | Black Orchestra | Dragonfire | Heroes of Terrinoth | Marvel Champions: The Card Game |
15 | Android: Infiltration | Ultimate Werewolf: Inquisition | Chimera | 7 Wonders Duel | Aeon's End | Clank! In! Space!: A Deck-Building Adventure | Gunkimono | Flotilla |
16 | Love Letter | Thunderstone: Starter Set | Kakerlakentanz | Arboretum | 75 Gnom' Street | Whitehall Mystery | Architects of the West Kingdom | Amul |
17 | Cockroach Poker Royal | City of Remnants | Eggs and Empires | Treasure Hunter | Robo Rally | Altiplano | Metro X | Slyville |
18 | Mafia: Vendetta | Pelican Bay | Ciúb | Lanterns: The Harvest Festival | Explorers of the North Sea | Kronia | AuZtralia | Kodachi |
19 | Escape: The Curse of the Temple | LEADERS: The Combined Strategy Game | Deus | Zombicide: Black Plague | StarFall | Hunt for the Ring | DC Spyfall | The 7th Continent: Classic Edition |
20 | The Resistance: Avalon | The Little Prince: Make Me a Planet | Nations: The Dice Game | Una Notte da Lupi | Heir to the Pharaoh | Chimera & More | Neon Gods | Paladins of the West Kingdom |
21 | Starship Merchants | Bremerhaven | Tiny Epic Kingdoms | Dojo Kun | Junta: Las Cartas | Stop Thief! | Gen7: A Crossroads Game | Conspiracy: The Solomon Gambit |
22 | Milestones | Terror in Meeple City | Isaribi | Die Fiesen 7 | A Game of Thrones: Hand of the King | Clans of Caledonia | Betrayal Legacy | Nanty Narking |
23 | Ghost Blitz 2 | Παλέρμο: Το Μεγάλο Ξεκαθάρισμα | Dead of Winter: A Crossroads Game | A Study in Emerald (Second Edition) | Ghost Blitz: Spooky Doo | Santo Domingo | Geistesblitz Junior | El Maestro |
24 | Kemet | Relic | Valley of the Kings | Blood Rage | Flamme Rouge | Carthago: Merchants & Guilds | Underwater Cities | Trails of Tucana |
25 | Kairo | Ghooost! | King of New York | Bastion | DOOM: The Board Game | Battle for Rokugan | The Pirate Republic | The Quest for El Dorado: The Golden Temples |
This is an interactive table for the model’s predictions for the training set (from resampling).
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2020?
username | outcome | dataset | method | .metric | .estimate |
Quinns | owned | validation | GLM | roc_auc | 0.745 |
Quinns | owned | validation | Decision Tree | roc_auc | 0.574 |
Table of top 50 games from 2020, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.420 | no |
2020 | 184267 | On Mars | 0.352 | no |
2020 | 281655 | High Frontier 4 All | 0.328 | no |
2020 | 301880 | Raiders of Scythia | 0.319 | no |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.289 | no |
2020 | 298572 | Cosmic Encounter Duel | 0.271 | no |
2020 | 256317 | Guild Master | 0.267 | no |
2020 | 301607 | KeyForge: Mass Mutation | 0.250 | no |
2020 | 302809 | Betrayal at Mystery Mansion | 0.245 | no |
2020 | 318084 | Furnace | 0.210 | no |
2020 | 296151 | Viscounts of the West Kingdom | 0.207 | no |
2020 | 306481 | Tawantinsuyu: The Inca Empire | 0.191 | no |
2020 | 294484 | Unmatched: Cobble & Fog | 0.191 | no |
2020 | 300001 | Renature | 0.183 | no |
2020 | 318983 | Faiyum | 0.167 | no |
2020 | 246900 | Eclipse: Second Dawn for the Galaxy | 0.155 | yes |
2020 | 325635 | Unmatched: Little Red Riding Hood vs. Beowulf | 0.153 | no |
2020 | 310442 | Feierabend | 0.149 | no |
2020 | 292333 | Cowboys II: Cowboys & Indians Edition | 0.136 | no |
2020 | 297030 | Tekhenu: Obelisk of the Sun | 0.131 | no |
2020 | 286749 | Hansa Teutonica: Big Box | 0.126 | no |
2020 | 316377 | 7 Wonders (Second Edition) | 0.121 | no |
2020 | 302723 | Forgotten Waters | 0.119 | no |
2020 | 282922 | Windward | 0.116 | no |
2020 | 315060 | Unmatched: Buffy the Vampire Slayer | 0.115 | no |
2020 | 297892 | Dodelido Extreme | 0.111 | no |
2020 | 298638 | Sheriff of Nottingham: 2nd Edition | 0.108 | no |
2020 | 281466 | Yedo: Deluxe Master Set | 0.104 | no |
2020 | 287033 | Gray Eminence | 0.097 | no |
2020 | 293014 | Nidavellir | 0.095 | no |
2020 | 296100 | Rococo: Deluxe Edition | 0.092 | yes |
2020 | 322809 | Diabolik: Heists and Investigations | 0.092 | no |
2020 | 313008 | Apollo: A Game Inspired by NASA Moon Missions | 0.092 | no |
2020 | 318977 | MicroMacro: Crime City | 0.088 | no |
2020 | 316412 | The LOOP | 0.087 | no |
2020 | 256999 | Project: ELITE | 0.084 | no |
2020 | 298371 | Wild Space | 0.082 | no |
2020 | 296626 | Sonora | 0.082 | no |
2020 | 317985 | Beyond the Sun | 0.077 | no |
2020 | 293556 | Gloomy Graves | 0.076 | no |
2020 | 279537 | The Search for Planet X | 0.076 | yes |
2020 | 315954 | Hunt A Killer: Death at the Dive Bar | 0.075 | no |
2020 | 293889 | Fallout Shelter: The Board Game | 0.075 | no |
2020 | 295646 | Spyfest | 0.075 | no |
2020 | 316750 | The Princess Bride Adventure Book Game | 0.072 | no |
2020 | 317105 | Tiny Epic Galaxies BLAST OFF! | 0.071 | no |
2020 | 319966 | The King Is Dead: Second Edition | 0.070 | no |
2020 | 283155 | Calico | 0.070 | no |
2020 | 293678 | Stellar | 0.063 | no |
2020 | 325555 | Cantaloop: Book 1 – Breaking into Prison | 0.062 | no |
We can then refit our model to the training and validation set in order to predict all upcoming games for the user.
Examine the top 100 upcoming games, highlighting in blue ones the user already owns.
Published | ID | Name | Pr(Owned) | Owned |
2021 | 339906 | The Hunger | 0.573 | no |
2022 | 349067 | The Lord of the Rings: The Card Game – Revised Core Set | 0.435 | no |
2022 | 310873 | Carnegie | 0.418 | no |
2022 | 317511 | Tindaya | 0.342 | no |
2021 | 256680 | Return to Dark Tower | 0.283 | no |
2021 | 343905 | Boonlake | 0.267 | no |
2021 | 340466 | Unfathomable | 0.234 | no |
2021 | 329670 | Pandemic: Hot Zone – Europe | 0.229 | no |
2021 | 316080 | KeyForge: Dark Tidings | 0.213 | no |
2023 | 347909 | Rogue Angels: Legacy of the Burning Suns | 0.201 | no |
2021 | 338834 | MicroMacro: Crime City – Full House | 0.200 | no |
2022 | 295770 | Frosthaven | 0.198 | no |
2021 | 304783 | Hadrian's Wall | 0.195 | no |
2022 | 335764 | Unmatched: Battle of Legends, Volume Two | 0.189 | no |
2021 | 326804 | Rorschach | 0.180 | no |
2021 | 221298 | NewSpeak | 0.159 | no |
2022 | 346199 | A Game of Thrones: B'Twixt | 0.155 | no |
2021 | 344277 | Corrosion | 0.155 | no |
2022 | 283137 | Human Punishment: The Beginning | 0.153 | no |
2021 | 249277 | Brazil: Imperial | 0.146 | no |
2021 | 342942 | Ark Nova | 0.146 | no |
2021 | 346553 | Heuschrecken Poker | 0.144 | no |
2021 | 285967 | Ankh: Gods of Egypt | 0.144 | no |
2021 | 338980 | Eastern Empires | 0.143 | no |
2021 | 291572 | Oath: Chronicles of Empire and Exile | 0.138 | no |
2021 | 328286 | Mission ISS | 0.138 | no |
2021 | 339484 | Savannah Park | 0.132 | no |
2022 | 319807 | Shogun no Katana | 0.130 | no |
2021 | 322708 | Descent: Legends of the Dark | 0.129 | no |
2021 | 291847 | Mantis Falls | 0.128 | no |
2022 | 305096 | Endless Winter: Paleoamericans | 0.124 | no |
2022 | 288080 | Dice Realms | 0.122 | no |
2021 | 324957 | The Snallygaster Situation: Kids on Bikes Board Game | 0.119 | no |
2022 | 251661 | Oathsworn: Into the Deepwood | 0.116 | no |
2021 | 339789 | Welcome to the Moon | 0.113 | no |
2021 | 338760 | Imperial Steam | 0.112 | no |
2022 | 322524 | Bardsung | 0.112 | no |
2021 | 309319 | Apogee | 0.110 | no |
2022 | 340325 | Vagrantsong | 0.109 | no |
2021 | 286751 | Zombicide: 2nd Edition | 0.109 | no |
2021 | 325698 | Juicy Fruits | 0.107 | no |
2022 | 273814 | Deliverance | 0.106 | no |
2021 | 328859 | Hula-Hoo! | 0.104 | no |
2021 | 332944 | Sobek: 2 Players | 0.102 | no |
2021 | 299255 | Vienna Connection | 0.097 | no |
2021 | 283387 | Rocketmen | 0.093 | no |
2021 | 293835 | Oltréé | 0.092 | no |
2021 | 309250 | Empyrean Hero: The Card Game | 0.091 | no |
2022 | 338067 | 6: Siege – The Board Game | 0.089 | no |
2022 | 331106 | The Witcher: Old World | 0.087 | no |
2022 | 271601 | Feed the Kraken | 0.087 | no |
2021 | 300148 | Spy Connection | 0.084 | no |
2021 | 328569 | Mint Bid | 0.079 | no |
2021 | 306202 | Philosophia: Floating World | 0.079 | no |
2022 | 308028 | Drop Drive | 0.079 | no |
2022 | 311988 | Frostpunk: The Board Game | 0.079 | no |
2021 | 342073 | Berried Treasure | 0.077 | no |
2021 | 340455 | King of the Valley | 0.076 | no |
2021 | 340909 | Gloomholdin' | 0.075 | no |
2021 | 318709 | For Sale Autorama | 0.072 | no |
2021 | 298102 | Roll Camera!: The Filmmaking Board Game | 0.071 | no |
2021 | 319792 | Fly-A-Way | 0.070 | no |
2021 | 308566 | Nova Lux | 0.070 | no |
2021 | 316786 | Tabannusi: Builders of Ur | 0.069 | no |
2023 | 337627 | Voidfall | 0.066 | no |
2021 | 316287 | Quest | 0.066 | no |
2021 | 344258 | That Time You Killed Me | 0.065 | no |
2021 | 331635 | Kameloot | 0.064 | no |
2021 | 329962 | Cantaloop: Book 2 – A Hack of a Plan | 0.061 | no |
2022 | 333255 | Keep the Heroes Out! | 0.061 | no |
2022 | 332393 | Bridge City Poker | 0.061 | no |
2021 | 257435 | Brick & Mortar | 0.060 | yes |
2021 | 298069 | Cubitos | 0.060 | yes |
2021 | 340237 | Wonder Book | 0.060 | no |
2021 | 277700 | Merchants Cove | 0.059 | no |
2021 | 330036 | Great Plains | 0.058 | no |
2021 | 298378 | Maharaja | 0.058 | no |
2021 | 315234 | Embarcadero | 0.057 | no |
2021 | 304985 | Dark Ages: Holy Roman Empire | 0.056 | no |
2021 | 295535 | Dark Ages: Heritage of Charlemagne | 0.056 | no |
2022 | 349793 | Age of Rome | 0.056 | no |
2022 | 275215 | Namiji | 0.056 | no |
2021 | 341169 | Great Western Trail (Second Edition) | 0.054 | no |
2021 | 340834 | Gravwell: 2nd Edition | 0.054 | no |
2021 | 260524 | Beyond Humanity: Colonies | 0.053 | no |
2022 | 275284 | Arkeis | 0.053 | no |
2022 | 342444 | Black Rose Wars: Rebirth | 0.052 | no |
2021 | 265635 | Space Race | 0.052 | no |
2021 | 324657 | Core Space: First Born | 0.051 | no |
2021 | 335541 | We Care: a Grizzled Game | 0.051 | no |
2021 | 330608 | Cryo | 0.051 | no |
2021 | 331685 | Hit the Silk! | 0.051 | no |
2021 | 266448 | Imperium: The Contention | 0.050 | no |
2023 | 274471 | Malhya: Lands of Legends | 0.050 | no |
2021 | 344408 | Full Throttle! | 0.050 | no |
2021 | 322588 | Origins: First Builders | 0.049 | no |
2022 | 277025 | Vampire: The Masquerade – Chapters | 0.049 | no |
2021 | 313730 | Harsh Shadows | 0.048 | no |
2022 | 330950 | Age of Galaxy | 0.048 | no |
2021 | 341048 | Free Ride | 0.048 | no |